| Investigation of machine learning approaches for traumatic brain injury classification via EEG assessment in mice M Vishwanath, S Jafarlou, I Shin, MM Lim, N Dutt, AM Rahmani, H Cao Sensors 20 (7), 2027, 2020 | 37 | 2020 |
| Classification of Electroencephalogram in a Mouse Model of Traumatic Brain Injury Using Machine Learning Approaches* M Vishwanath, S Jafarlou, I Shin, N Dutt, AM Rahmani, MM Lim, H Cao 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 13 | 2020 |
| Personal mental health navigator: harnessing the power of data, personal models, and health cybernetics to promote psychological well-being AM Rahmani, J Lai, S Jafarlou, I Azimi, A Yunusova, AP Rivera, S Labbaf, ... Frontiers in Digital Health 4, 933587, 2022 | 9 | 2022 |
| Analyzing large receptive field convolutional networks for distant speech recognition S Jafarlou, S Khorram, V Kothapally, JHL Hansen 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 9 | 2019 |
| Objective prediction of next-day’s affect using multimodal physiological and behavioral data: Algorithm development and validation study S Jafarlou, J Lai, I Azimi, Z Mousavi, S Labbaf, RC Jain, N Dutt, JL Borelli, ... JMIR Formative Research 7 (1), e39425, 2023 | 6 | 2023 |
| ECG Biosignal Deidentification Using Conditional Generative Adversarial Networks S Jafarlou, AM Rahmani, N Dutt, SR Mousavi 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 6 | 2022 |
| Investigation of machine learning and deep learning approaches for detection of mild traumatic brain injury from human sleep electroencephalogram M Vishwanath, S Jafarlou, I Shin, N Dutt, AM Rahmani, CE Jones, MM Lim, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 6 | 2021 |
| Sleep patterns and affect dynamics among college students during the COVID-19 pandemic: intensive longitudinal study ZA Mousavi, J Lai, K Simon, AP Rivera, A Yunusova, S Hu, S Labbaf, ... JMIR formative research 6 (8), e33964, 2022 | 3 | 2022 |
| Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings Z Yang, I Azimi, S Jafarlou, S Labbaf, J Borelli, N Dutt, AM Rahmani 2023 IEEE 19th International Conference on Body Sensor Networks (BSN), 1-4, 2023 | 2 | 2023 |
| Objective monitoring of loneliness levels using smart devices: A multi-device approach for mental health applications S Jafarlou, I Azimi, J Lai, Y Wang, S Labbaf, B Nguyen, H Qureshi, ... medRxiv, 2023.06. 12.23291296, 2023 | 1 | 2023 |
| Objective Prediction of Tomorrow's Affect Using Multi-Modal Physiological Data and Personal Chronicles: A Study of Monitoring College Student Well-being in 2020 S Jafarlou, J Lai, Z Mousavi, S Labbaf, R Jain, N Dutt, J Borelli, ... arXiv preprint arXiv:2201.11230, 2022 | 1 | 2022 |
| 193 Sleep Variability and Affect Dynamics Among College Students during COVID-19 Pandemic Z Mousavi, J Lai, A Yunusova, A Rivera, S Hu, S Labbaf, S Jafarlou, ... Sleep 44 (Supplement_2), A78-A78, 2021 | | 2021 |
| Large Receptive Field Convolutional Neural Networks for Robust Speech Recognition S Jafarlou The University of Texas at Dallas, 2020 | | 2020 |
Nikil DuttDistinguished Professor, CS, EECS & Cognitive Sciences, University of California, IrvineVerified email at uci.edu
